Papers by Danilo Silva de Carvalho

2 papers
Montague semantics and modifier consistency measurement in neural language models (2025.coling-main)

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Challenge: Existing studies on distributional language models have been focused on linguistics and their relationship with semantic formalisms for decades.
Approach: They propose a method for measuring compositional behavior in contemporary language embedding models by introducing three new tests inspired by Montague semantics.
Outcome: The proposed method measures compositional behavior in language embedding models on adjectival modifier phenomena in adjective-noun phrases.
Formal Semantic Controls over Language Models (2024.lrec-tutorials)

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Challenge: Text embeddings provide a concise representation of the semantics of sentences and larger spans of text, rather than individual words, capturing a wide range of linguistic features.
Approach: They propose to shorten the gap between latent semantics and formal symbolics by comparing distributional models to symbolic models grounded on formal linguistics and well-defined mathematical properties.
Outcome: This paper examines the analysis and control of text representations, covering methods from pooling to LLM-based.

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